Spectral conjugate gradient techniques for unconstrained optimization are frequently utilized
especially when the dimension is high. Based on the curvature information, updated spectral …

A conjugate optimal coefficient is a crucial characteristic of conjugate gradient algorithms.
The idea of accelerating the conjugate gradient by utilizing the conjugacy condition …

Quasi-Newton methods (QN) are very useful in finding the optimal solution to the
unconstrained optimization problems. The updated Hessian approximations fulfill the …

In civil engineering, the joints of structures are complex, and their damage is generally hard
to be detected. Due to the insensitivity of structural modal information to local joint damage …

Conjugate gradient algorithms come in a wide range of flavors. Conjugate gradient
techniques primarily concentrate on the coefficient conjugate. We introduce a novel …

Aiming at the defects of standard slime mould algorithm (SMA), such as local optima
stagnation, slow convergence and improper balance between exploitation and exploration …

We present constructive second-and fourth-order methods for solving degenerate
unconstrained optimization problems. The fourth-order method applied in the present work …

Optimization algorithms are essential tools in all fields such as engineering, business,
science and even in nature. Their performance and efficiency may differ from problem-to …

The formula conjugate is usually the focal point in conjugate gradient techniques. In this
paper, the Perry's conjugacy condition and quadratic model are used to derive a new …

In most applications, denoising a photograph is essential for most image processing
processes. In this study, a conjugate gradient method for impulse noise reduction is …